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Sunnyvale, California

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Yesterday

We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features su

Full-time

On-device ML Integration Engineer, Graphics, Games & ML

Cupertino, California

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Yesterday

\\nImagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation.\\n\\n

Full-time

On-Device ML Compiler Engineer, Model Compilation, Graphics, Games & ML

Cupertino, California

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Yesterday

Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation.\\n\\nOur t

Full-time

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games & ML

Cupertino, California

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Yesterday

Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. \\n\\nWe stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Ou

Full-time

On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML

Cupertino, California

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Yesterday

Imagine being at the forefront of an evolution where modern AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation.\\n\\nOur team

Full-time

On-Device ML Infrastructure Engineer, ML User Experience, APIs & Integration, Graphics, Games & ML

Cupertino, California

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Yesterday

Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for machine learning innovation.\\n\\nWe are buil

Full-time

Staff Machine Learning Engineer - On-Device AI/ML

Santa Clara, California

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Yesterday

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm AI Hub is the platform for on-device AI - enabling developers to easily integrate, optimize, profile, and deploy ML models on Qualcomm devices. Qualcomm AI Hub Workbench lets developers compile trained PyTorch or ONNX models into deployable artifacts targeting a variety of runtimes - Lite RT, ONNX Runtime (ORT), or Qualcomm AI Engine Direct SDK (QAIRT) -

Full-time

USD 160,500.00 - 240,700.00 per year

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